Variation In Metabolites Research Articles

Extensive identification of serum metabolites related to microbes in different gut locations and evaluating their associations with porcine fatness.

Gut microbiota plays important roles in host metabolism. Whether and how much the gut microbiota in different gut locations contributes to the variations of host serum metabolites are largely unknown, because it is difficult to obtain microbial samples from different gut locations on a large population scale. Here, we quantified the gut microbial compositions using 16S rRNA gene sequencing for 1070 samples collected from the ileum, cecum and faeces of 544 F6 pigs from a mosaic pig population. Untargeted metabolome measurements determined serum metabolome profiles. We found 1671, 12,985 and 103,250 significant correlations between circulating serum metabolites and bacterial ASVs in the ileum, cecum, and faeces samples. We detected nine serum metabolites showing significant correlations with gut bacteria in more than one gut location. However, most metabolite-microbiota pairwise associations were gut location-specific. Targeted metabolome analysis revealed that CDCA, taurine, L-leucine and N-acetyl-L-alanine can be used as biomarkers to predictporcine fatness. Enriched taxa in fat pigs, for example Prevotella and Lawsonia intracellularis were positively associated with L-leucine, while enriched taxa in lean pigs, such as Clostridium butyricum, were negatively associated with L-leucine and CDCA, but positively associated with taurine and N-acetyl-L-alanine. These results suggested that the contributions of gut microbiota in each gut location to the variations of serum metabolites showed spatial heterogeneity.

Untargeted LC-QTOF-MS/MS Based Metabolomic Profile Approach of Bacterial Ferment Lysates and Skin Commensal Bacterial Cocktail Ferment Lysates

Microbial therapy has been increasingly developed in the medical and health fields and has triggered advances in the process of formulating skincare products. The skin microbiota becomes the target in the development of active ingredients to produce an optimal effect in the balance of its composition which leads to its usefulness in maintaining skin health and providing protection. Postbiotic bacteria can maintain homeostasis of the skin microbiome so that it has the potential to be used as an active ingredient in Active Pharmaceutical Ingredient (API) in skincare products and have broad benefits due to its various active substances. The aim of this study was to examine the metabolites profile contained in the bacterial fermented lysate fraction, which is also served as a marker in identifying the metabolite variations of the lysate fractions and their API dosage forms. Ferment lysate API preparations were prepared in the form of freeze dried and spray dried. The metabolite profile analysis was carried out using the untargeted LC-QTOF-MS/MS metabolomic approach and multivariate analysis. Result revealed 30 differential features of the putative metabolites, and by performing metabolites annotationfor their bioactivities through intensive literature research, such as antimicrobial, antioxidant, and anti-inflammatory, we elucidated these compounds are discovered in dry form of lysates.

Abstract P518: Distinctive Blood Metabolomic Profiles Between US-Born and Foreign-Born Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Introduction: US-born Hispanics have a worse cardiometabolic profile compared to foreign-born Hispanics, but the underlying mechanisms are not fully understood. Hypothesis: We hypothesize that, compared to foreign-born Hispanics, US-born Hispanics have a distinctive blood metabolomic profile, which might be related to diet/lifestyle and gut microbiota and associated with health outcomes. Methods: Serum levels of 634 metabolites were profiled in US Hispanics in the Hispanic Community Health Study/Study of Latinos (N=3941 in discovery dataset; N=2368 in replication dataset). We used multiple linear regression to identify metabolites associated with US nativity. Machine-learning algorithms were used to identify potential determinants of metabolites based on genetics, sociodemographic factors, diet, lifestyle, clinical parameters, and gut microbiota. We examined prospective associations of baseline metabolites with risk of incident diseases during a 6-year follow-up using Poisson regression. Results: We identified 158 metabolites associated with US nativity in discovery dataset (FDR<0.05), 135 of which were validated in replication dataset (87 higher and 48 lower in US born vs foreign-born). A metabolomic score showed a high discriminatory ability for US-born vs foreign-born Hispanics (AUC = 0.84 and 0.82 in discovery and replication datasets, respectively) and a dose-response relationship with longer duration of US residence. Variations of these US-nativity related metabolites were explained more by nongenetic factors, especially diet and gut microbiota, compared to those unrelated to US nativity, while variations explained by genetics between these two groups of metabolites were similar. Specifically, the US-born related metabolomic profile was characterized by lower levels of many metabolites in amino acid and xenobiotic pathways (e.g., ergothioneine, phenylpropionate, indole propionate, β-cryptoxanthin, carotene diol). These metabolites were positively associated with plant-based food intake (e.g., whole grain, fruits, vegetables) and beneficial fiber-utilizing bacteria (e.g., Eubacterium, Roseburia, Oscillibacter). Cardiometabolic and kidney function traits showed stronger overall associations with US-nativity related metabolites compared to other clinical traits (e.g., liver function, lung function). Prospective analyses showed that metabolites higher in US-born Hispanics were generally associated with higher risk of server obesity, hypertension, diabetes, chronic kidney disease and asthma, while those higher in foreign-born Hispanics were generally associated with lower risk of these diseases. Conclusion: Compared to foreign-born Hispanics, US-born Hispanics showed an unfavorable blood metabolomic profile associated with multiple chronic diseases, which might be partially related to diet and gut microbiota acculturation.

Assessing the ecological risk of tritium and Carbon-14 discharge on cyanobacteria through metabolic profiling

The ecological risk posed by tritium (T) and carbon-14 (C-14) discharge from nuclear accidents has gained attention. This study evaluated the toxic impact of T and C-14 (at a concentration of 37 kBq/L for 15 days) on the cyanobacteria (Synechococcus elongatus). The results showed that the assimilation efficiency of cyanobacteria was significantly higher for C-14 than T, and the intracellular C-14 activity reached 30.62–40.58 kBq/kg. T and C-14 exposure had no significant effect on cell proliferation but impacted photosynthesis and respiration. T exposure increased the content of Ca, Mg, Na, P, K, and Mn, while C-14 exposure primarily affected trace element absorption in cyanobacteria. 31, 27, and 58 different metabolites (DEMs) were identified under T, C-14, and combined exposure conditions. These DEMs were enriched in the amino acid biosynthesis pathway, and nitrogen assimilation was one of the crucial pathways affected by T and C-14 exposure. The absorption of mineral elements by cyanobacteria was influenced by the variation in metabolites in the ABC transporter pathway caused by T and C-14 exposure. Our findings provide insights into the metabolic response of cyanobacteria to T and C-14 exposure and will help to guide the ecological risk evaluation of nuclear accidents.

Integrated pharmacokinetics and pharmacometabolomics to reveal the synergistic mechanism of a multicomponent Chinese patent medicine, Mailuo Shutong pills against thromboangiitis obliterans

BackgroundMailuo Shutong Pills (MLST) have displayed pharmacological activity against thromboangiitis obliterans (TAO). However, the active ingredients and therapeutic mechanism of MLST against TAO remained to be further clarified. PurposeThe aim of this study was to explore the active components of MLST and their synergistic mechanism against TAO by integrating pharmacokinetics (PK) and pharmacometabolomics (PM). MethodsTAO model rats were established by sodium laurate solution. Firstly, the efficacy of MLST was evaluated by gangrene score, blood flow velocity, and hematoxylin-eosin (H&E) staining. Secondly, PK research was conducted on bioavailable components to characterize their dynamic behaviors under TAO. Thirdly, multiple plasma and urine metabolic biomarkers for sodium laurate-induced TAO rats were found by untargeted metabolomics, and then variations in TAO-altered metabolites following MLST treatment were analyzed utilizing multivariate and bioinformatic analysis. Additionally, metabolic pathway analysis was performed using MetaboAnalyst. Finally, the dynamic link between absorbed MLST-compounds and TAO-associated endogenous metabolites was established by correlation analysis. ResultsMLST significantly alleviated gangrene symptoms by improving the infiltration of inflammatory cells and blood supply in TAO rats. Significant differences in metabolic profiles were found in 17 differential metabolites in plasma and 24 in urine between Sham and TAO rats. The 10 bioavailable MLST-compounds, such as chlorogenic acid and paeoniflorin, showed positive or negative correlations with various TAO-altered metabolites related to glutamate metabolism, histidine metabolism, arachidonic acid metabolism and so on. ConclusionThis study originally investigated the dynamic interaction between MLST and the biosystem, providing unique insight for disclosing the active components of MLST and their synergistic mechanisms against TAO, which also shed light on new therapeutic targets for TAO and treatment.

Serum metabolomic analysis reveals key metabolites in drug treatment of central precocious puberty in female children.

Precocious puberty (PP) is a common condition among children. According to the pathogenesis and clinical manifestations, PP can be divided into central precocious puberty (CPP, gonadotropin dependent), peripheral precocious puberty (PPP, gonadotropin independent), and incomplete precocious puberty (IPP). Identification of the variations in key metabolites involved in CPP and their underlying biological mechanisms has increased the understanding of the pathological processes of this condition. However, little is known about the role of metabolite variations in the drug treatment of CPP. Moreover, it remains unclear whether the understanding of the crucial metabolites and pathways can help predict disease progression after pharmacological therapy of CPP. In this study, systematic metabolomic analysis was used to examine three groups, namely, healthy control (group N, 30 healthy female children), CPP (group S, 31 female children with CPP), and treatment (group R, 29 female children) groups. A total of 14 pathways (the top two pathways were aminoacyl-tRNA biosynthesis and phenylalanine, tyrosine, and tryptophan biosynthesis) were significantly enriched in children with CPP. In addition, two short peptides (His-Arg-Lys-Glu and Lys-Met-His) were found to play a significant role in CPP. Various metabolites associated with different pathways including amino acids, PE [19:1(9Z)0:0], tumonoic acid I, palmitic amide, and linoleic acid-biotin were investigated in the serum of children in all groups. A total of 45 metabolites were found to interact with a chemical drug [a gonadotropin-releasing hormone (GnRH) analog] and a traditional Chinese medicinal formula (DBYW). This study helps to understand metabolic variations in CPP after drug therapy, and further investigation may help develop individualized treatment approaches for CPP in clinical practice.

Acidity drives volatile metabolites in the spontaneous fermentation of sesame flavor-type baijiu

Environmental factors play an important role in contributing to intricate compositional dynamics and volatile metabolites in food fermentation. However, our understanding of which and how environmental factors affect volatile metabolites during sesame flavor-type baijiu fermentation is poor. Here, we examined the effects of environmental factors on the bacterial and fungal community to determine how changes in representative factors impact the microbial structure, diversity, and volatile metabolites in three fermentations. Results showed that bacterial community (ANOSIM: R = 0.79, P = 0.001), fungal community (ANOSIM: R = 0.65, P = 0.001), and volatile metabolites (ANOSIM: R = 0.84, P = 0.001) were significantly different in three fermentations. Acidity, ethanol, and moisture negatively impacted bacterial composition and diversity (P < 0.05). The fungal diversity and structure were positively and significantly affected by acidity (path coefficient, b = 0.54 for diversity, b = 0.35 for structure, P < 0.05). The fungal community rather than the bacterial community was the strongest driver of volatile metabolites. Fungal structure and diversity were equally important for the composition and content of volatile metabolites (structure: b = 0.50, diversity: b = 0.56, P < 0.05). 66 % of variations in volatile metabolites could be explained. Altogether these results indicated that acidity strongly drove volatile metabolites by modulating fungal structure and diversity. This work provides insights into managing volatile metabolites by regulating initial acidity in sesame flavor-type baijiu fermentation.

The Key Metabolites in Rice Quality Formation of Conventional japonica Varieties.

To understand differences in the quality of different conventional japonica rice varieties and variations in metabolites related to rice quality, the quality of three conventional japonica varieties was determined, and the metabolites of the milled rice were investigated using nontargeted metabolomics technology. The results showed that the taste value (TV) of Yangda 4Hao (YD4) was significantly higher than that of Yangda 3Hao (YD3) and Huaidao 5Hao (HD5). The protein content (PC) of HD5 was significantly higher than that of YD3 and YD4. PC was significantly negatively correlated with TV. Ninety-one differential metabolites (59 increased and 32 decreased) were identified between YD3 and HD5. A total of 144 differential metabolites (96 upregulated and 48 downregulated) were identified between YD4 and HD5. A total of 114 differential metabolites (40 increased and 74 decreased) were identified between YD3 and YD4. The metabolites with a high correlation to rice quality were mostly involved in the amino acid metabolism pathway. Amino acid metabolites play an important role in the formation of rice quality. The key metabolites in the synthesis and regulation of metabolic pathways are sucrose, levan, and amylose, which are carbohydrates, and L-glutamine, L-aspartic acid, and L-asparagine, which are amino acid metabolites. It can be seen from this study that the metabolites of sucrose, levan, amylose, L-glutamine, L-aspartic acid, and L-asparagine may be the key metabolites in the quality formation of high-quality rice varieties.

Metabolite Variation between Nematode and Bacterial Seed Galls in Comparison to Healthy Seeds of Ryegrass Using Direct Immersion Solid-Phase Microextraction (DI-SPME) Coupled with GC-MS.

Annual ryegrass toxicity (ARGT) is an often-fatal poisoning of livestock that consume annual ryegrass infected by the bacterium Rathayibacter toxicus. This bacterium is carried into the ryegrass by a nematode, Anguina funesta, and produces toxins within seed galls that develop during the flowering to seed maturity stages of the plant. The actual mechanism of biochemical transformation of healthy seeds to nematode and bacterial gall-infected seeds remains unclear and no clear-cut information is available on what type of volatile organic compounds accumulate in the respective galls. Therefore, to fill this research gap, the present study was designed to analyze the chemical differences among nematode galls (A. funesta), bacterial galls (R. toxicus) and healthy seeds of annual ryegrass (Lolium rigidum) by using direct immersion solid-phase microextraction (DI-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). The method was optimized and validated by testing its linearity, sensitivity, and reproducibility. Fifty-seven compounds were identified from all three sources (nematode galls, bacterial galls and healthy seed), and 48 compounds were found to be present at significantly different (p &lt; 0.05) levels in the three groups. Five volatile organic compounds (hexanedioic acid, bis(2-ethylhexyl) ester), (carbonic acid, but-2-yn-1-yl eicosyl ester), (fumaric acid, 2-ethylhexyl tridec-2-yn-1-yl ester), (oct-3-enoylamide, N-methyl-N-undecyl) and hexacosanoic acid are the most frequent indicators of R. toxicus bacterial infection in ryegrass, whereas the presence of 15-methylnonacosane, 13-methylheptacosane, ethyl hexacosyl ether, heptacosyl acetate and heptacosyl trifluoroacetate indicates A. funesta nematode infestation. Metabolites occurring in both bacterial and nematode galls included batilol (stearyl monoglyceride) and 9-octadecenoic acid (Z)-, tetradecyl ester. Among the chemical functional group, esters, fatty acids, and alcohols together contributed more than 70% in healthy seed, whereas this contribution was 61% and 58% in nematode and bacterial galls, respectively. This study demonstrated that DI-SPME is a valid technique to study differentially expressed metabolites in infected and healthy ryegrass seed and may help provide better understanding of the biochemical interactions between plant and pathogen to aid in management of ARGT.

Amino acids-targeted metabolomics reveals novel diagnostic biomarkers for ulcerative colitis and Crohn's disease.

Inflammatory bowel disease (IBD), which mainly comprises ulcerative colitis (UC) and Crohn's disease (CD), is a common chronic intestinal inflammatory disease that affects the ileum, rectum, and colon. Currently, the diagnosis of IBD is based on clinical history, physical examination and complementary diagnostic tests. It is challenging for physicians to make a definitive diagnosis. This study aimed to analyze the variation in amino acid metabolites in IBD serum and to identify potential predictive biomarkers of IBD diagnosis and progression. Serum samples were collected from 158 UC patients, 130 CD patients and 138 healthy controls (HCs). The 37 amino acids in serum were determined by ultra-high-pressure liquid chromatography coupled to a mass spectrometer. A panel of three-amino-acid metabolites (taurine, homocitrulline and kynurenine) was identified as a specific biomarker panel of IBD. Receiver operating characteristic analysis (ROC) showed that the panel had a sensitivity of 88.4% with a specificity of 84.6% for discriminating CD patients from UC patients. The biomarkers identified are increased in CD compared to UC. Our approach demonstrated a strong relationship between serum amino acid levels and IBD. We successfully identified serum amino acid biomarkers associated with CD and UC. The biomarker panel has potential in clinical practice for IBD diagnosis and will provide new insights into IBD pathogenesis.

Analysis of chemotypes and their markers in leaves of core collections of Eucommia ulmoides using metabolomics.

The leaves of Eucommia ulmoides contain various active compunds and nutritional components, and have successively been included as raw materials in the Chinese Pharmacopoeia, the Health Food Raw Material Catalogue, and the Feed Raw Material Catalogue. Core collections of E. ulmoides had been constructed from the conserved germplasm resources basing on molecular markers and morphological traits, however, the metabolite diversity and variation in this core population were little understood. Metabolite profiles of E. ulmoides leaves of 193 core collections were comprehensively characterized by GC-MS and LC-MS/MS based non-targeted metabolomics in present study. Totally 1,100 metabolites were identified and that belonged to 18 categories, and contained 120 active ingredients for traditional Chinese medicine (TCM) and 85 disease-resistant metabolites. Four leaf chemotypes of the core collections were established by integrated uses of unsupervised self-organizing map (SOM), supervised orthogonal partial least squares discriminant analysis (OPLS-DA) and random forest (RF) statistical methods, 30, 23, 43, and 23 chemomarkers were screened corresponding to the four chemotypes, respectively. The morphological markers for the chemotypes were obtained by weighted gene co-expression network analysis (WGCNA) between the chenomarkers and the morphological traits, with leaf length (LL), chlorophyll reference value (CRV), leaf dentate height (LDH), and leaf thickness (LT) corresponding to chemotypes I, II, III, and IV, respectively. Contents of quercetin-3-O-pentosidine, isoquercitrin were closely correlated to LL, leaf area (LA), and leaf perimeter (LP), suggesting the quercetin derivatives might influence the growth and development of E. ulmoides leaf shape.

Foliar Selenium Nanoparticles Application Promotes the Growth of Maize (Zea mays L.) Seedlings by Regulating Carbon, Nitrogen and Oxidative Stress Metabolism

Current understanding of selenium (Se) nanoparticles (SeNPs) effects on growth of C4 cereals is deeply scarce, and thus a hydroponic experiment was conducted to explore the physiological, biochemical, and metabolites variations in maize following foliar application of SeO32- and SeNPs each at 2 and 20 mg/L. The results demonstrated that fresh weight of Se foliar-applied leaves (Se-leaves) significantly increased by 27% after foliar application of SeNPs at 20 mg/L, which was mainly attributed to the improved photosynthetic efficiency (50%–78%) and stomatal conductance (46%–60%) of Se-leaves. Foliar-applied SeNPs and SeO32- both increased the Se concentration of each part of maize, while SeNPs was more efficient in improving the Se concentration, and Se was mainly accumulated in the cell wall. Significant increase was observed in GSH (14%–64%), POD (6%–24%), SOD (2%–11%), CAT (55%–73%), APX (50%–90%) at SeNPs application in comparison with control. Metabolomic results indicated that foliar application of 20 mg/L SeNPs significantly up-regulated 42 metabolites, which were mainly carbohydrates, amino acids, ketone and phenol, vitamin, and ten metabolic pathways (2 metabolic pathways related with carbon metabolism, 5 related with nitrogen metabolism, and 1 related with oxidative stress metabolism) was improved. Therefore, SeNPs mainly enhanced the antioxidant capacity by improving metabolic pathways of glutathione metabolism, carbon metabolism, and nitrogen metabolism and finally improved various physiological indexes of maize to boost the growth of maize.

UPLC-QTOF-MS-Based Metabolomics and Antioxidant Capacity of Codonopsis lanceolata from Different Geographical Origins.

Codonopsis lanceolata (C. lanceolata) has been commonly utilized as a therapeutic plant in traditional medicine. In this study, we examined variations in metabolites in C. lanceolata roots grown in different regions using ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). Multivariate analysis showed that the metabolite profiles of plants grown in Hoengseong and Jeongseon were more similar to each other than to that of C. lanceolata grown in Jeju. Most primary metabolites were present at higher levels in C. lanceolata grown in Jeju. In contrast, C. lanceolata grown in Hoengseong and Jeongseon had high levels of secondary metabolites such as phenylpropanoids and triterpenoid saponins, respectively. In addition, the bioactive compound content and antioxidant capacity of in C. lanceolata grown in Hoengseong and Jeongseon were observed to be higher than those of C. lanceolata grown in Jeju. This study suggests that metabolomics is an effective approach to investigate the difference of metabolite profiling in C. lanceolata from different geographical origins, and is useful for evaluating its pharmacological potential.

Synergistic and non-synergistic impact of HAP-based nano fertilizer and PGPR for improved nutrient utilization and metabolite variation in hemp crops

Nanofertilizer prepared with urea-hydroxyapatite amalgamation along with PGPR promotes urea availability over longer period of plant growth and reduces wasteful urea expense in soil, curtailing environmental pollution.

Metabolite variations in the sera of HIV+ patients after an oral administration of effervescent glutamine and in comparison to non-HIV individuals by NMR.

It was demonstrated that effervescent glutamine supplementation in HIV+ individuals treated with antiretroviral therapy (ART) increased CD4+ T lymphocytes, decreased inflammation biomarkers, and brought health benefits. This pilot study aimed to explore serum metabolite variations in the HIV+ group under ART after 30 days of supplementation with glutamine, and in comparison to the matched HIV- group. The group of HIV+ showed lower levels of choline, creatine, pyruvate, glutamate, lysine, and tyrosine when compared to the HIV- group. Glucose, lipids, lactate, glutamine, phenylalanine, threonine, and phenylalanine/tyrosine were higher in HIV+ patients under long ART. Serum metabolome variations were shown to be consistent with the health improvements observed in the HIV+ group after effervescent glutamine supplementation, which might aid in ART in HIV+ individuals.

An insight into the variation of the antioxidative and antibacterial activity of extracts from populations of the subalpine and montane lichen Cetraria islandica

Lichens are supra-organismal symbiotic systems found in most environments. Environmental factors, such as temperature, altitude, precipitation, UV irradiation, or pathogens, significantly influence the physiology of lichens, and thus their secondary metabolism. The thalli of the same lichen species from different environments exhibit variation in the production of secondary metabolites and protective pigments. We selected two populations of the lichen Cetraria islandica from habitats differing in altitude, temperature, and precipitation. Then we compared their antioxidative and antibacterial activity. The lichen thalli were divided into two parts: the upper parts were exposed to light and the lower parts hidden from extensive radiation. The results show that the thalli from harsh alpine environments have higher 2,2-diphenyl-1-picryl-hydrazyl-hydrate (DPPH) radical scavenging activity suggesting better tolerance to oxidative stress. On the other hand, the individuals from milder montane environments generally produce more secondary metabolites, leading to increased antibacterial activity of the extracts. The extracts of C. islandica containing fumarprotocetraric and paraconic acids exhibit inhibitory effects against gram-positive bacteria (e.g. Staphylococcus aureus) and some lower activity against gram-negative bacteria (e.g. Escherichia coli).

1H NMR-Based Metabolomics Approach Revealing Metabolite Variation of Black Turmeric (Curcuma caesia) Extracts and Correlation with Its Antioxidant and α-Glucosidase Inhibitory Activities.

Curcuma species (Zingiberaceae) are well known medicinal herbs in India and Southeast Asia. Despite various findings reporting their beneficial biological activities, very little information has been recorded on the Curcuma caesia. Thus, this study aims to determine the phenolic content, antioxidant and α-glucosidase inhibitory activity of both rhizome and leaves of C. caesia. Rhizome and leaves of C. caesia were dried with oven (OD) and freeze (FD)-drying methods, and extracted with different Φ(ethanol,water)=100:0, 80:20, 50:50 and 0:100. The bioactivities of C. caesia extracts were evaluated using in vitro tests; total phenolic content (TPC), antioxidant (DPPH and FRAP) and α-glucosidase inhibitory activity. Proton nuclear magnetic resonance (1H NMR)-based metabolomics approach was employed to differentiate the most active extracts based on their metabolite profiles and correlation with bioactivities. The FD rhizome extracted with Φ(ethanol,water)=100:0 was observed to have potent TPC expressed as gallic acid equivalents, FRAP expressed as Trolox equivalents and α-glucosidase inhibitory activity with values of (45.4±2.1) mg/g extract, (147.7±8.3) mg/g extract and (265.5±38.6) µg/mL (IC50), respectively. Meanwhile, for DPPH scavenging activity, the Φ(ethanol,water)=80:20 and 100:0 extracts of FD rhizome showed the highest activity with no significant difference between them. Hence, the FD rhizome extracts were selected for further metabolomics analysis. Principal component analysis (PCA) showed clear discrimination among the different extracts. Partial least square (PLS) analysis showed positive correlations of the metabolites, including xanthorrhizol derivative, 1-hydroxy-1,7-bis(4-hydroxy-3-methoxyphenyl)-(6E)-6-heptene-3,4-dione, valine, luteolin, zedoardiol, β-turmerone, selina-4(15),7(11)-dien-8-one, zedoalactone B and germacrone, with the antioxidant and α-glucosidase inhibition activities, whereas curdione and 1-(4-hydroxy-3,5-dimethoxyphenyl)-7-(4-hydroxy-3-methoxyphenyl)-(lE,6E)-1,6-heptadiene3,4-dione were correlated with α-glucosidase inhibitory activity. C. caesia rhizome and leaf extracts contained phenolic compounds and had varies antioxidant and α-glucosidase inhibitory capacities. These findings strongly suggest that the rhizomes of C. caesia are an invaluable natural source of active ingredients for applications in pharmaceutical and food industries.

Hemolymph Metabolism Analysis of Honey Bee (Apis mellifera L.) Response to Different Bee Pollens.

Pollen is essential to the development of honey bees. The nutrients in bee pollen vary greatly among plant species. Here, we analyzed the differences in the amino acid compositions of pear (Pyrus bretschneideri), rape (Brassica napus), and apricot (Armeniaca sibirica) pollens and investigated the variation in hemolymph metabolites and metabolic pathways through untargeted metabolomics in caged adult bees at days 7 and 14. The results showed that the levels of five essential amino acids (isoleucine, phenylalanine, lysine, methionine, and histidine) were the highest in pear pollen, and the levels of four amino acids (isoleucine: 50.75 ± 1.93 mg/kg, phenylalanine: 87.25 ± 2.66 mg/kg, methionine: 16.00 ± 0.71 mg/kg and histidine: 647.50 ± 24.80 mg/kg) were significantly higher in pear pollen than in the other two kinds of bee pollen (p < 0.05). The number of metabolites in bee hemolymph on day 14 (615) was significantly lower than that on day 7 (1466). The key metabolic pathways of bees, namely, “sphingolipid metabolism (p = 0.0091)”, “tryptophan metabolism (p = 0.0245)”, and “cysteine and methionine metabolism (p = 0.0277)”, were significantly affected on day 7. There was no meaningful pathway enrichment on day 14. In conclusion, pear pollen had higher nutritional value among the three bee pollens in terms of amino acid level, followed by rape and apricot pollen, and the difference in amino acid composition among bee pollens was reflected in the lipid and amino acid metabolism pathways of early adult honey bee hemolymph. This study provides new insights into the physiological and metabolic functions of different bee pollens in bees.

In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising.

Quantitative three-dimensional (3D) imaging of phosphorus (31 P) metabolites is potentially a promising technique with which to assess the progression of liver disease and monitor therapy response. However, 31 P magnetic resonance spectroscopy has a low sensitivity and commonly used 31 P surface coils do not provide full coverage of the liver. This study aimed to overcome these limitations by using a 31 P whole-body transmit coil in combination with a 16-channel 31 P receive array at 7 T. Using this setup, we determined the repeatability of whole-liver 31 P magnetic resonance spectroscopic imaging (31 P MRSI) in healthy subjects and assessed the effects of principal component analysis (PCA)-based denoising on the repeatability parameters. In addition, spatial variations of 31 P metabolites within the liver were analyzed. 3D 31 P MRSI data of the liver were acquired with a nominal voxel size of 20 mm isotropic in 10 healthy volunteers twice on the same day. Data were reconstructed without denoising, and with PCA-based denoising before or after channel combination. From the test-retest data, repeatability parameters for metabolite level quantification were determined for 12 31 P metabolite signals. On average, 31 P MR spectra from 100 ± 25 voxels in the liver were analyzed. Only voxels with contamination from skeletal muscle or the gall bladder were excluded and no voxels were discarded based on (low) signal-to-noise ratio (SNR). Repeatability for most quantified 31 P metabolite levels in the liver was good to excellent, with an intrasubject variability below 10%. PCA-based denoising increased the SNR ~ 3-fold, but did not improve the repeatability for mean liver 31 P metabolite quantification with the fitting constraints used. Significant spatial heterogeneity of various 31 P metabolite levels within the liver was observed, with marked differences for the phosphomonoester and phosphodiester metabolites between the left and right lobe. In conclusion, using a 31 P whole-body transmit coil in combination with a 16-channel 31 P receive array at 7 T allowed 31 P MRSI acquisitions with full liver coverage and good to excellent repeatability.

Association of maternal TSH and neonatal metabolism: A large prospective cohort study in China.

Neonatal metabolites are very important in neonatal disease screening, and maternal thyroid hormones play an important role in fetal and neonatal health. Our study aimed to explore the association of maternal thyroid hormones with neonatal metabolites and identify an important time windows. Pregnant women were recruited in Jinan Maternity and Child Care Hospital and followed up until delivery. Multivariate generalized linear regression models (GLMs) and restricted cubic spline (RCS) regression analysis models were used to investigate the associations of maternal TSH and FT4 with neonatal metabolites. In total, 6,653 pairs of mothers and newborns were enrolled in our study. We identified 5 neonatal metabolites, including arginine/ornithine (Arg/Orn), C14:1/C2, C18:1, C3DC+C4OH and C8:1, that were significantly associated with maternal serum TSH during the whole pregnancy (P < 0.05), especially in the first trimester. Moreover, 10 neonatal metabolites were significantly associated with maternal serum FT4 (P < 0.05), most of which had positive correlations with maternal FT4 in the first trimester (P < 0.05). Some neonatal metabolites also had linear or nonlinear dose-effect relationships with maternal serum TSH and FT4 during the whole pregnancy, particularly in the first trimester. Our study, for the first time, provides epidemiological evidence that maternal serum TSH and FT4, especially during the first trimester, are associated with linear or nonlinear variations in neonatal metabolites. Efforts to identify newborn metabolism levels should carefully consider the effects of maternal thyroid function.